title: Extracting BI-RADS Features from Portuguese Clinical Texts.
abstract: In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on the BIRADS lexicon and on iterative transferred expert knowledge. We compare the performance of our algorithm to manual annotation by a specialist in mammography. Our results show that our parser's performance is comparable to the manual method.
authors.affiliation: University of Wisconsin, Madison, USA ( nassif@wisc.edu ).
authors.forename: Houssam
authors.initials: H
authors.lastname: Nassif
authors.forename: Filipe
authors.initials: F
authors.lastname: Cunha
authors.forename: Inês C
authors.initials: IC
authors.lastname: Moreira
authors.forename: Ricardo
authors.initials: R
authors.lastname: Cruz-Correia
authors.forename: Eliana
authors.initials: E
authors.lastname: Sousa
authors.forename: David
authors.initials: D
authors.lastname: Page
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Burnside
authors.forename: Inês
authors.initials: I
authors.lastname: Dutra
keywords: BI-RADS descriptors; breast cancer; feature extraction